Abstract:
Various embodiments include methods and devices for implementing compression of high dynamic ratio fields. Various embodiments may include receiving a compression block having data units, receiving a mapping for the compression block, wherein the mapping is configured to map bits of each data unit to two or more data fields to generate a first set of data fields and a second set of data fields, compressing the first set of data fields together to generate a compressed first set of data fields, and compressing the second set of data fields together to generate a compressed second set of data fields.
Abstract:
An exemplary method for intelligent compression uses a foveated-compression approach. First, the location of a fixation point within an image frame is determined. Next, the image frame is sectored into two or more sectors such that one of the two or more sectors is designated as a fixation sector and the remaining sectors are designated as foveation sectors. A sector may be defined by one or more tiles within the image frame. The fixation sector includes the particular tile that contains the fixation point and is compressed according to a lossless compression algorithm. The foveation sectors are compressed according to lossy compression algorithms. As the locations of foveation sectors increase in angular distance from the location of the fixation sector, a compression factor may be increased.
Abstract:
A method and system for dynamic control of shared memory resources within a portable computing device (“PCD”) are disclosed. A limit request of an unacceptable deadline miss (“UDM”) engine of the portable computing device may be determined with a limit request sensor within the UDM element. Next, a memory management unit modifies a shared memory resource arbitration policy in view of the limit request. By modifying the shared memory resource arbitration policy, the memory management unit may smartly allocate resources to service translation requests separately queued based on having emanated from either a flooding engine or a non-flooding engine.
Abstract:
A method and system for adjusting bandwidth within a portable computing device based on danger signals monitored from one on more elements of the portable computing device are disclosed. A danger level of an unacceptable deadline miss (“UDM”) element of the portable computing device may be determined with a danger level sensor within the UDM element. Next, a quality of service (“QoS”) controller may adjust a magnitude for one or more danger levels received based on the UDM element type that generated the danger level and based on a potential fault condition type associated with the particular danger level. The danger levels received from one UDM element may be mapped to at least one of another UDM element and a non-UDM element. A quality of service policy for each UDM element and non-UDM element may be mapped in accordance with the danger levels.
Abstract:
Systems and methods are provided for managing performance of a computing device having dissimilar memory types. An exemplary embodiment comprises a method for interleaving dissimilar memory devices. The method involves determining an interleave bandwidth ratio comprising a ratio of bandwidths for two or more dissimilar memory devices. The dissimilar memory devices are interleaved according to the interleave bandwidth ratio. Memory address requests are distributed from one or more processing units to the dissimilar memory devices according to the interleave bandwidth ratio.